code: def get_multitask_pipeline():
      logit_node = PipelineNode("logit")
      data_source_node = PipelineNode("data_source_table/regression")
      final_node = PipelineNode(
          "dtreg", nodes_from=[logit_node, data_source_node]
      )
      return Pipeline(final_node)
  
file_path: FEDOT/examples/advanced/multitask_classification_regression.py
imports: from datetime import timedelta
  from typing import Tuple
  import numpy
  import pandas
  from golem.core.tuning.simultaneous import SimultaneousTuner
  from fedot.core.data.data import InputData
  from fedot.core.data.multi_modal import MultiModalData
  from fedot.core.data.supplementary_data import SupplementaryData
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.pipelines.tuning.tuner_builder import TunerBuilder
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.metrics_repository import RegressionMetricsEnum
  from fedot.core.repository.tasks import TaskTypesEnum, Task
  from fedot.core.utils import fedot_project_root
label_desc: Use image node_id 1 for calling a global function with example usage: get_multitask_pipeline() and returns: Pipeline